
doi: 10.1002/net.22165
handle: 2268/308753
AbstractIn this article we introduce a preprocessing technique to solve the Segment Routing Traffic Engineering Problem optimally using significantly fewer computational resources than previously introduced methods. Segment routing is a recently developed interior gateway routing protocol to be used on top of existing protocols that introduces more flexibility in traffic engineering. In practice, segment routing allows to deviate traffic from its original path by specifying a list of intermediate nodes or links, called segments, to visit before going to its destination. The issue we tackle in this article is that the number of segment paths scales exponentially with the maximum number of segments allowed leading to scalability issues in mathematical formulations. This article introduces the notion of dominated segment paths, these are paths that can be eliminated from the solution space when searching for an optimal solution. We propose a dynamic programming algorithm eliminating dominated paths for any number of segments. Numerical results show that respectively 50%, 90%, and 97% of paths are dominated when considering up to 2, 3, and 4 segments on benchmark network topologies.
Segment Routing, Network Optimisation, Sciences informatiques, traffic engineering, graph theory, Quantitative methods in economics & management, Dynamic programming, mixed integer linear programming, [INFO.INFO-RO] Computer Science [cs]/Operations Research [math.OC], Méthodes quantitatives en économie & gestion, Ingénierie, informatique & technologie, Mixed integer programming, network flows, segment routing, network optimization, Telecommunication Networks, Sciences économiques & de gestion, Business & economic sciences, Traffic Engineering, Programming involving graphs or networks, Computer science, telecommunication networks, routing algorithms, Engineering, computing & technology, Network Flows, Mixed Integer Linear Programming, Graph Theory, Routing Algorithms
Segment Routing, Network Optimisation, Sciences informatiques, traffic engineering, graph theory, Quantitative methods in economics & management, Dynamic programming, mixed integer linear programming, [INFO.INFO-RO] Computer Science [cs]/Operations Research [math.OC], Méthodes quantitatives en économie & gestion, Ingénierie, informatique & technologie, Mixed integer programming, network flows, segment routing, network optimization, Telecommunication Networks, Sciences économiques & de gestion, Business & economic sciences, Traffic Engineering, Programming involving graphs or networks, Computer science, telecommunication networks, routing algorithms, Engineering, computing & technology, Network Flows, Mixed Integer Linear Programming, Graph Theory, Routing Algorithms
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